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A New Method to Detect Fire and Alarm in Confined Space Based on Electronic Nose
This paper presents a new method to detect fire and alarm in confined space based on electronic nose. Common confined space includes some distribution cabinet, machine room, warehouse, air cargo compartment and spacecraft cabin, etc. Combined with the characteristics of the confined space, a fire detection and alarm system is schematically designed. This system is based on electronic nose and is an aspirated configuration. With this system, this method adopts PNN as the recognition algorithm, and introduces steady status and warning time to the monitoring host. The CO, O2, CO2 and temperature are taken into account as the input of the PNN to get the probability of fire. Compared with the normal methods, this method can detect fire more quickly, reduce the false and missing alarm rate and realize real-time online alarming.
A New Method to Detect Fire and Alarm in Confined Space Based on Electronic Nose
This paper presents a new method to detect fire and alarm in confined space based on electronic nose. Common confined space includes some distribution cabinet, machine room, warehouse, air cargo compartment and spacecraft cabin, etc. Combined with the characteristics of the confined space, a fire detection and alarm system is schematically designed. This system is based on electronic nose and is an aspirated configuration. With this system, this method adopts PNN as the recognition algorithm, and introduces steady status and warning time to the monitoring host. The CO, O2, CO2 and temperature are taken into account as the input of the PNN to get the probability of fire. Compared with the normal methods, this method can detect fire more quickly, reduce the false and missing alarm rate and realize real-time online alarming.
A New Method to Detect Fire and Alarm in Confined Space Based on Electronic Nose
Wang, Xiao-Wei (Autor:in) / Hu, Hai-Bing (Autor:in) / Qin, Jun (Autor:in) / Zhang, Yong-Ming (Autor:in)
2013
5 Seiten
Aufsatz (Konferenz)
Englisch
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